基于递归神经网络RRH的5G前传网络BBU资源分配

2018 Asia Communications and Photonics Conference (ACP) Pub Date : 2018-10-01 DOI:10.1109/ACP.2018.8596310

Bo Tian, Qi Zhang, X. Xin, Qinghua Tian, Xiangyu Wu, Ying Tao, Yufei Shen, Guixing Cao, Naijin Liu

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引用次数: 2

摘要

提出一种基于递归神经网络的C-RAN电池池资源分配方案。仿真结果表明，与传统网络相比，该方案具有更低的功耗和更低的阻塞率和更高的总吞吐量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network

A recursive neural network based BBU pool resource allocation scheme in C-RAN is proposed. Simulation results indicate the proposed scheme achieves lower power consumption and blocking rate with higher total throughput compared with traditional network.

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来源期刊

2018 Asia Communications and Photonics Conference (ACP)

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